Efficient streaming dynamic mode decomposition

This work introduces efficient streaming dynamic mode decomposition (esDMD), a method to analyze data streams sequentially without redundancy. While standard sDMD maintains two orthonormal bases, esDMD proves that keeping only a single basis is sufficient to accurately characterize system dynamics. This reformulation reduces computational complexity and memory usage by eliminating unnecessary dual basis updates.

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